• Photonics Research
  • Vol. 8, Issue 9, 1532 (2020)
Zheng-Ping Li1、2、3、†, Xin Huang1、2、3、†, Yuan Cao1、2、3、†, Bin Wang1、2、3, Yu-Huai Li1、2、3, Weijie Jin1、2、3, Chao Yu1、2、3, Jun Zhang1、2、3, Qiang Zhang1、2、3, Cheng-Zhi Peng1、2、3, Feihu Xu1、2、3、*, and Jian-Wei Pan1、2、3
Author Affiliations
  • 1Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
  • 2Shanghai Branch, CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Shanghai 201315, China
  • 3Shanghai Research Center for Quantum Sciences, Shanghai 201315, China
  • show less
    DOI: 10.1364/PRJ.390091 Cite this Article Set citation alerts
    Zheng-Ping Li, Xin Huang, Yuan Cao, Bin Wang, Yu-Huai Li, Weijie Jin, Chao Yu, Jun Zhang, Qiang Zhang, Cheng-Zhi Peng, Feihu Xu, Jian-Wei Pan. Single-photon computational 3D imaging at 45 km[J]. Photonics Research, 2020, 8(9): 1532 Copy Citation Text show less

    Abstract

    Single-photon light detection and ranging (lidar) offers single-photon sensitivity and picosecond timing resolution, which is desirable for high-precision three-dimensional (3D) imaging over long distances. Despite important progress, further extending the imaging range presents enormous challenges because only a few echo photons return and are mixed with strong noise. Here, we tackled these challenges by constructing a high-efficiency, low-noise coaxial single-photon lidar system and developing a long-range-tailored computational algorithm that provides high photon efficiency and good noise tolerance. Using this technique, we experimentally demonstrated active single-photon 3D imaging at a distance of up to 45 km in an urban environment, with a low return-signal level of 1 photon per pixel. Our system is feasible for imaging at a few hundreds of kilometers by refining the setup, and thus represents a step towards low-power and high-resolution lidar over extra-long ranges.
    R(t;θx,θy)=θx,θyFoVhxy(θxθx,θyθy)r(θx,θy)ht[t2d(θx,θy)/c]dθxdθy+b(1)

    View in Article

    SPoisson(h*RD+B),(2)

    View in Article

    minimizeRDLRD(RD;Y,h,B)subjecttoRDi,j,k0,i,j,k,(3)

    View in Article

    Zheng-Ping Li, Xin Huang, Yuan Cao, Bin Wang, Yu-Huai Li, Weijie Jin, Chao Yu, Jun Zhang, Qiang Zhang, Cheng-Zhi Peng, Feihu Xu, Jian-Wei Pan. Single-photon computational 3D imaging at 45 km[J]. Photonics Research, 2020, 8(9): 1532
    Download Citation